- g -

• G2() : gum::learning::genericBNLearner
• GammaLog2() : gum::GammaLog2
• gammaLog2() : gum::GammaLog2
• GeneralizedCNFWriter() : gum::GeneralizedCNFWriter< GUM_SCALAR, IApproximationPolicy >
• generate() : gum::learning::DBRowGenerator4CompleteRows< ALLOC > , gum::learning::DBRowGenerator< ALLOC > , gum::learning::DBRowGeneratorEM< GUM_SCALAR, ALLOC > , gum::learning::DBRowGeneratorIdentity< ALLOC > , gum::learning::DBRowGeneratorSet< ALLOC > , gum::MultiDimFunctionGraphGenerator , gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR > , gum::prm::PRMGenerator< GUM_SCALAR >
• generateBN() : gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator > , gum::MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber > , gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >
• generateBN__() : gum::O3prmBNReader< GUM_SCALAR >
• generateClass__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >
• generateClassDag__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• generateClasses__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• generateCluster__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >
• generateCPT() : gum::BayesNet< GUM_SCALAR > , gum::SimpleCPTGenerator< GUM_SCALAR >
• generateCPTs() : gum::BayesNet< GUM_SCALAR >
• generateID() : gum::InfluenceDiagramGenerator< GUM_SCALAR >
• generateInfEngine() : gum::prm::o3prmr::O3prmrInterpreter
• generateInterfaces__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• generateSystem__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• generateType__() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• generateUT() : gum::SimpleUTGenerator , gum::UTGenerator
• generateVarPos__() : gum::MultiDimFunctionGraphGenerator
• generatorSet() : gum::learning::DBRowGeneratorParser< ALLOC >
• genericBNLearner() : gum::learning::genericBNLearner
• get() : gum::aggregator::MultiDimAggregator< GUM_SCALAR > , gum::CompleteProjectionRegister4MultiDim< GUM_SCALAR > , gum::learning::PseudoCount< ALLOC > , gum::MultiDimBijArray< GUM_SCALAR > , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimContainer< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy > , gum::MultiDimLogit< GUM_SCALAR > , gum::MultiDimNoisyAND< GUM_SCALAR > , gum::MultiDimNoisyORCompound< GUM_SCALAR > , gum::MultiDimNoisyORNet< GUM_SCALAR > , gum::MultiDimSparse< GUM_SCALAR > , gum::OperatorRegister4MultiDim< GUM_SCALAR > , gum::PartialInstantiationRegister4MultiDim< GUM_SCALAR > , gum::prm::ClassDependencyGraph< GUM_SCALAR > , gum::prm::PRMClass< GUM_SCALAR > , gum::prm::PRMClassElementContainer< GUM_SCALAR > , gum::prm::PRMInstance< GUM_SCALAR > , gum::prm::PRMInterface< GUM_SCALAR > , gum::prm::PRMSystem< GUM_SCALAR > , gum::ProjectionRegister4MultiDim< GUM_SCALAR > , gum::VariableNodeMap
• Get() : ticpp::Iterator< T > , TiCppRCImp
• get_() : gum::MultiDimArray< GUM_SCALAR > , gum::MultiDimBijArray< GUM_SCALAR > , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimContainer< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy > , gum::MultiDimReadOnly< GUM_SCALAR > , gum::MultiDimSparse< GUM_SCALAR > , gum::MultiDimWithOffset< GUM_SCALAR >
• get__() : gum::prm::ClassBayesNet< GUM_SCALAR > , gum::prm::InstanceBayesNet< GUM_SCALAR >
• get_binaryCPT_max() : gum::credal::CredalNet< GUM_SCALAR >
• get_binaryCPT_min() : gum::credal::CredalNet< GUM_SCALAR >
• getAggPotential__() : gum::prm::SVE< GUM_SCALAR > , gum::prm::SVED< GUM_SCALAR >
• getAggregatorInstance() : gum::IOperatorStrategy< GUM_SCALAR > , gum::MDDOperatorStrategy< GUM_SCALAR > , gum::TreeOperatorStrategy< GUM_SCALAR >
• getAllocator() : gum::learning::Apriori< ALLOC > , gum::learning::CorrectedMutualInformation< ALLOC > , gum::learning::DAG2BNLearner< ALLOC > , gum::learning::DBRow< T_DATA, ALLOC > , gum::learning::DBRowGenerator4CompleteRows< ALLOC > , gum::learning::DBRowGenerator< ALLOC > , gum::learning::DBRowGeneratorEM< GUM_SCALAR, ALLOC > , gum::learning::DBRowGeneratorIdentity< ALLOC > , gum::learning::DBRowGeneratorParser< ALLOC > , gum::learning::DBRowGeneratorSet< ALLOC > , gum::learning::DBRowGeneratorWithBN< GUM_SCALAR, ALLOC > , gum::learning::DBTranslator< ALLOC > , gum::learning::DBTranslatorSet< ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IDBInitializer< ALLOC > , gum::learning::IdCondSet< ALLOC > , gum::learning::IndependenceTest< ALLOC > , gum::learning::ParamEstimator< ALLOC > , gum::learning::PseudoCount< ALLOC > , gum::learning::RecordCounter< ALLOC > , gum::learning::Score< ALLOC > , gum::learning::ScoringCache< ALLOC > , gum::VariableLog2ParamComplexity< ALLOC >
• getApproximationSchemeMsg() : gum::credal::InferenceEngine< GUM_SCALAR >
• getAprioriType__() : gum::learning::genericBNLearner
• getArgMaxFunctionInstance() : gum::IOperatorStrategy< GUM_SCALAR > , gum::MDDOperatorStrategy< GUM_SCALAR > , gum::TreeOperatorStrategy< GUM_SCALAR >
• getArray() : gum::prm::PRMSystem< GUM_SCALAR >
• getArrayType() : gum::prm::PRMSystem< GUM_SCALAR >
• GetAttribute() : ticpp::Element
• GetAttributeImp() : ticpp::Element
• GetAttributeOrDefault() : ticpp::Element
• getAttrSet__() : gum::prm::SVED< GUM_SCALAR >
• GetBasePointer() : ticpp::Attribute , ticpp::Base , ticpp::Node
• getBayesNet() : gum::learning::DBRowGeneratorWithBN< GUM_SCALAR, ALLOC >
• getBNInference() : gum::prm::GroundedInference< GUM_SCALAR >
• getBNOptsFromKey() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getBucket__() : gum::HashTableConstIterator< Key, Val > , gum::HashTableConstIteratorSafe< Key, Val > , gum::List< Val, Alloc > , gum::ListConstIterator< Val > , gum::ListConstIteratorSafe< Val >
• getByOffset() : gum::MultiDimArray< GUM_SCALAR >
• getCastDescendant() : gum::prm::PRMAggregate< GUM_SCALAR > , gum::prm::PRMAttribute< GUM_SCALAR > , gum::prm::PRMClassElement< GUM_SCALAR > , gum::prm::PRMFormAttribute< GUM_SCALAR > , gum::prm::PRMParameter< GUM_SCALAR > , gum::prm::PRMReferenceSlot< GUM_SCALAR > , gum::prm::PRMScalarAttribute< GUM_SCALAR > , gum::prm::PRMSlotChain< GUM_SCALAR >
• GetChar() : TiXmlBase
• getChildrenDecision_() : gum::InfluenceDiagram< GUM_SCALAR >
• getClass() : gum::prm::PRM< GUM_SCALAR >
• getClusterRatio() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >
• getCols() : gum::credal::lp::LpInterface< GUM_SCALAR >
• getContext() : gum::prm::o3prmr::O3prmrInterpreter
• getCurrent() : gum::prm::IPRMFactory , gum::prm::PRMFactory< GUM_SCALAR >
• getCurrentSample() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getData() : gum::IndexedTree< Key, Data >
• getDecisionGraph() : gum::InfluenceDiagram< GUM_SCALAR >
• getDecomposedAggregator() : gum::AggregatorDecomposition< GUM_SCALAR >
• GetDocument() : ticpp::Node , TiXmlNode
• getDomainSize() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• getElement() : gum::SplayBinaryNode< Element >
• getElimOrder__() : gum::prm::SVE< GUM_SCALAR > , gum::prm::SVED< GUM_SCALAR >
• GetEntity() : TiXmlBase
• getEntityName__() : gum::O3prmBNReader< GUM_SCALAR >
• getEntrySize() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getFd() : gum::SplayBinaryNode< Element >
• getFg() : gum::SplayBinaryNode< Element >
• getFullBNOptsFromKey() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getFunctionInstance() : gum::IOperatorStrategy< GUM_SCALAR > , gum::MDDOperatorStrategy< GUM_SCALAR > , gum::TreeOperatorStrategy< GUM_SCALAR >
• getIndex__() : gum::HashTableConstIterator< Key, Val > , gum::HashTableConstIteratorSafe< Key, Val >
• getInput() : gum::credal::LRSWrapper< GUM_SCALAR >
• getInstance() : gum::prm::PRMInstance< GUM_SCALAR >
• getInstanceName__() : gum::O3prmBNReader< GUM_SCALAR >
• getInstances() : gum::prm::PRMInstance< GUM_SCALAR >
• getInterface() : gum::prm::PRM< GUM_SCALAR >
• getIOFlag_() : gum::prm::PRMClassElementContainer< GUM_SCALAR >
• getIthBucket__() : gum::List< Val, Alloc >
• getLayer() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• getLRSWrapperOutput__() : gum::credal::LRSWrapper< GUM_SCALAR >
• getMark__() : gum::prm::StructuredBayesBall< GUM_SCALAR >
• getMasterRef() : gum::MultiDimAdressable , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimContainer< GUM_SCALAR >
• getMaxDFSDepth() : gum::prm::GSpan< GUM_SCALAR >
• getMaximumArity() : gum::AggregatorDecomposition< GUM_SCALAR >
• getMaxParents() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR > , gum::prm::LayerGenerator< GUM_SCALAR >
• GetName() : ticpp::Attribute
• getNameGenerator() : gum::prm::PRMGenerator< GUM_SCALAR >
• getNewChanges__() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC >
• getNode() : gum::IndexedTree< Key, Data >
• getNode_() : gum::BinSearchTree< Val, Cmp, Node >
• getOffs_() : gum::MultiDimWithOffset< GUM_SCALAR >
• getOutput() : gum::credal::LRSWrapper< GUM_SCALAR >
• getPartialTemporalOrder() : gum::InfluenceDiagram< GUM_SCALAR >
• getPaths() : gum::prm::o3prmr::O3prmrInterpreter
• getReducedAndOrderedInstance() : gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >
• getRefAttr() : gum::prm::PRMInstance< GUM_SCALAR >
• getSampleDef() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getSC__() : gum::prm::StructuredBayesBall< GUM_SCALAR >
• getSCSet__() : gum::prm::SVED< GUM_SCALAR >
• getSystem() : gum::prm::PRM< GUM_SCALAR >
• getT0Cluster() : gum::credal::InferenceEngine< GUM_SCALAR >
• getT1Cluster() : gum::credal::InferenceEngine< GUM_SCALAR >
• GetText() : ticpp::Element , TiXmlElement
• GetTextImp() : ticpp::Element
• GetTextOrDefault() : ticpp::Element
• GetTiXmlPointer() : ticpp::Node , ticpp::NodeImp< T >
• getTreeInstance() : gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >
• getType() : gum::learning::Apriori< ALLOC > , gum::learning::AprioriBDeu< ALLOC > , gum::learning::AprioriDirichletFromDatabase< ALLOC > , gum::learning::AprioriNoApriori< ALLOC > , gum::learning::AprioriSmoothing< ALLOC >
• getUnshieldedTriples_() : gum::learning::Miic
• getUnshieldedTriplesMIIC_() : gum::learning::Miic
• GetUserData() : TiXmlBase
• getValType() : gum::learning::DBTranslator< ALLOC >
• GetValue() : ticpp::Attribute , ticpp::Node
• getVariableName__() : gum::O3prmBNReader< GUM_SCALAR >
• getVarMod2BNsMap() : gum::credal::InferenceEngine< GUM_SCALAR >
• getVerticesNumber() : gum::credal::LRSWrapper< GUM_SCALAR >
• getVolume() : gum::credal::LRSWrapper< GUM_SCALAR >
• getWithDefault() : gum::HashTable< Key, Val, Alloc >
• GibbsBNdistance() : gum::GibbsBNdistance< GUM_SCALAR >
• GibbsOperator() : gum::GibbsOperator< GUM_SCALAR >
• GibbsSample__() : gum::GibbsOperator< GUM_SCALAR >
• GibbsSampling() : gum::GibbsSampling< GUM_SCALAR >
• goal() : gum::learning::DBRowGenerator< ALLOC >
• goEast__() : gum::FactorySimulator
• goNorth__() : gum::FactorySimulator
• goSouth__() : gum::FactorySimulator
• goWest__() : gum::FactorySimulator
• graph() : gum::EliminationSequenceStrategy , gum::IncrementalTriangulation , gum::prm::gspan::DFSTree< GUM_SCALAR > , gum::prm::gspan::InterfaceGraph< GUM_SCALAR > , gum::UGmodel
• GraphChange() : gum::learning::GraphChange
• graphChangeGenerator() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC >
• GraphChangesGenerator4DiGraph() : gum::learning::GraphChangesGenerator4DiGraph< STRUCT_CONSTRAINT >
• GraphChangesGenerator4K2() : gum::learning::GraphChangesGenerator4K2< STRUCT_CONSTRAINT >
• GraphChangesGenerator4UndiGraph() : gum::learning::GraphChangesGenerator4UndiGraph< STRUCT_CONSTRAINT >
• GraphChangesGeneratorOnSubDiGraph() : gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >
• GraphChangesSelector4DiGraph() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC >
• GraphicalModel() : gum::GraphicalModel
• GraphicalModelInference() : gum::GraphicalModelInference< GUM_SCALAR >
• GreedyHillClimbing() : gum::learning::GreedyHillClimbing
• groundAgg__() : gum::prm::PRMSystem< GUM_SCALAR >
• groundAttr__() : gum::prm::PRMSystem< GUM_SCALAR >
• groundedBN() : gum::prm::PRMSystem< GUM_SCALAR >
• GroundedInference() : gum::prm::GroundedInference< GUM_SCALAR >
• groundPotential__() : gum::prm::PRMSystem< GUM_SCALAR >
• groundRef__() : gum::prm::PRMSystem< GUM_SCALAR >
• growPattern() : gum::prm::gspan::DFSTree< GUM_SCALAR >
• GSpan() : gum::prm::GSpan< GUM_SCALAR >
• gspan() : gum::prm::StructuredInference< GUM_SCALAR >
• GTestPolicy() : gum::GTestPolicy< GUM_SCALAR >